Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks
- DOI
- 10.1109/access.2025.3567410
- Published
- 2025
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2025.3567410,
title = {Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks},
author = {Santu Mondal and Sneha Ray and Aritra Acharyya and Rudra Sankar Dhar and Arindam Biswas and Hiroaki Satoh and Gurudas Mandal and Vitaliy Maksimenko and Victor Krishtop},
year = {2025},
journal = {IEEE Access},
doi = {10.1109/access.2025.3567410},
url = {https://doi.org/10.1109/access.2025.3567410}
}RIS
TY - JOUR TI - Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks AU - Santu Mondal AU - Sneha Ray AU - Aritra Acharyya AU - Rudra Sankar Dhar AU - Arindam Biswas AU - Hiroaki Satoh AU - Gurudas Mandal AU - Vitaliy Maksimenko AU - Victor Krishtop PY - 2025 JO - IEEE Access DO - 10.1109/access.2025.3567410 UR - https://doi.org/10.1109/access.2025.3567410 ER -
APA
Mondal, S., Ray, S., Acharyya, A., Dhar, R. S., Biswas, A., Satoh, H., Mandal, G., Maksimenko, V., & Krishtop, V. (2025). Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks. IEEE Access. https://doi.org/10.1109/access.2025.3567410
Source records
- crossref · retrieved 2026-11-09T05:31:29.578Z